seresnet34_ascend.yaml

# system
mode: 0
distribute: True
num_parallel_workers: 8
val_while_train: True

# dataset
dataset: "imagenet"
data_dir: "path/to/imagenet"
shuffle: True
dataset_download: False
batch_size: 64
drop_remainder: True

# augmentation
image_resize: 224
scale: [0.08, 1.0]
ratio: [0.75, 1.333]
hflip: 0.5
interpolation: "bicubic"
crop_pct: 0.875

# model
model: "seresnet34"
num_classes: 1000
pretrained: False
ckpt_path: ""
keep_checkpoint_max: 30
ckpt_save_dir: "./ckpt"
epoch_size: 150
dataset_sink_mode: True
amp_level: "O2"

# loss
loss: "CE"
label_smoothing: 0.1

# lr scheduler
scheduler: "warmup_cosine_decay"
min_lr: 0.0
lr: 0.075
warmup_epochs: 0
decay_epochs: 150

# optimizer
opt: "momentum"
filter_bias_and_bn: True
momentum: 0.9
weight_decay: 0.0001
loss_scale: 1024
use_nesterov: False